Hyppää sisältöön
    • Suomeksi
    • På svenska
    • In English
  • Suomeksi
  • In English
  • Kirjaudu
Näytä aineisto 
  •   Etusivu
  • LUTPub
  • Tieteelliset julkaisut
  • Näytä aineisto
  •   Etusivu
  • LUTPub
  • Tieteelliset julkaisut
  • Näytä aineisto
JavaScript is disabled for your browser. Some features of this site may not work without it.

Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective

Islam, Najmul; Laato, Samuli; Talukder, Shamim; Sutinen, Erkki (2020-07-12)

Katso/Avaa
islam_et_al_misinformation_sharing_aam.pdf (429.4Kb)
Lataukset: 


Post-print / Final draft

Islam, Najmul
Laato, Samuli
Talukder, Shamim
Sutinen, Erkki
12.07.2020

Technological Forecasting and Social Change

159

Elsevier

School of Engineering Science

https://doi.org/10.1016/j.techfore.2020.120201
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020102085768

Tiivistelmä

Social media plays a significant role during pandemics such as COVID-19, as it enables people to share news as well as personal experiences and viewpoints with one another in real-time, globally. Building off the affordance lens and cognitive load theory, we investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic. Accordingly, we develop a model which we analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (N = 433). The results show that people, who are driven by self-promotion and entertainment, and those suffering from deficient self-regulation, are more likely to share unverified information. Exploration and religiosity correlated negatively with the sharing of unverified information. However, exploration also increased social media fatigue. Our findings indicate that the different use purposes of social media introduce problematic consequences, in particular, increased misinformation sharing.

Lähdeviite

Islam, N., Laato, S., Talukder, S., Sutinen, E. (2020). Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective. Technological Forecasting and Social Change, vol. 159. DOI: 10.1016/j.techfore.2020.120201

Alkuperäinen verkko-osoite

https://www.sciencedirect.com/science/article/pii/S0040162520310271?via%3Dihub
Kokoelmat
  • Tieteelliset julkaisut [1210]
LUT-yliopisto
PL 20
53851 Lappeenranta
Ota yhteyttä | Tietosuoja | Saavutettavuusseloste
 

 

Tämä kokoelma

JulkaisuajatTekijätNimekkeetKoulutusohjelmaAvainsanatSyöttöajatYhteisöt ja kokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy
LUT-yliopisto
PL 20
53851 Lappeenranta
Ota yhteyttä | Tietosuoja | Saavutettavuusseloste